Data Scientist (m/f)

Job Description

Job Description & Summary Location: Bratislava, Košice (Hybrid) — Engage with global teams across Western Europe and the USA Team: Advanced Technology Solutions (ATS) - AI Security Consulting at PwC Join PwC's pioneering data & AI team and help design and deliver the AI and machine learning solutions that drive real business impact. We're growing quickly due to a strong pipeline of client work, and we're hiring across multiple seniority levels — from junior to senior Data Scientists . Python is the core skill we expect. Depending on your strengths, you may focus on machine learning , statistical modelling , NLP , computer vision , or GenAI . Many roles also include "full-solver" flexibility — contributing where needed, including experimentation , prototyping , deploying models , or working end-to-end on AI use cases using modern platforms (including Microsoft technologies where relevant). What You'll Do: Build AI That Solves Real Problems: Design, develop, train, and evaluate machine learning and statistical models across a wide range of business challenges — from classifying pharmaceutical documents for regulatory compliance and detecting anomalies in financial transactions to optimizing pressure in industrial pipeline systems through predictive modelling and constrained multi-dimensional optimization . Turn Messy Data Into Insights: Explore, analyse, and visualize complex datasets to uncover patterns that matter. Perform feature engineering , data preprocessing , and selection to maximize model performance — whether you're working with structured financial data, unstructured regulatory texts, or high-volume sensor streams. Push the Boundaries With GenAI & NLP: Design and implement solutions leveraging Large Language Models , Retrieval-Augmented Generation (RAG) , and NLP techniques. Build tools that enable natural language data exploration, intelligent knowledge retrieval for ERP transformations, and seamless interaction with unstructured documents — turning cutting-edge research into production-ready solutions . See the World Through Computer Vision: Apply image processing , object detection , and visual reasoning techniques to solve problems at scale — from analyzing satellite imagery for agricultural monitoring to validating visual content in regulated industries. Experiment Rigorously, Deploy Confidently: Define and execute robust experimentation frameworks , select appropriate metrics, and validate model performance. Collaborate with data engineers and platform teams to move models from notebook to production , monitor performance over time, and support continuous retraining and improvement . Work Directly With Clients: Collaborate with clients across Western Europe and the USA to understand their business challenges, frame problems as data science opportunities , and communicate findings clearly. Your work will span industries from pharma and energy to agriculture and finance — and your recommendations will shape real decisions. Stay Ahea